Tailor-made identification of documents with a need-based and solution-oriented approach

Dataset
Country Climate Strategies
Other
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Ahmedabad Municpal Corporation
x=
2
2
0
0
1
1
0
0
0
0
0
y=
2
2
0
0
1
1
0
0
0
0
0
647
smart-strategy
City of Almaty
x=
8
4
4
0
1
3
0
3
0
1
0
y=
8
4
4
0
1
3
0
3
0
1
0
652
smart-strategy
City of Amman
x=
18
8
10
1
1
6
0
6
1
0
3
y=
18
8
10
1
1
6
0
6
1
0
3
653
resilience-strategy
City of Alexandria
x=
0
0
0
0
0
0
0
0
0
0
0
y=
0
0
0
0
0
0
0
0
0
0
0
649
mobility-strategy
Ahmedabad Urban Development Authority
x=
9
8
1
1
1
6
0
0
0
0
1
y=
9
8
1
1
1
6
0
0
0
0
1
648
innovation-strategy
IGLUS
x=
25
7
18
0
3
3
1
6
0
6
6
y=
25
7
18
0
3
3
1
6
0
6
6
651
smart-strategy
Waag
x=
13
8
5
1
1
6
0
3
1
1
0
y=
13
8
5
1
1
6
0
3
1
1
0
657
smart-strategy
City of Amsterdam
x=
14
3
11
0
0
3
0
3
6
1
1
y=
14
3
11
0
0
3
0
3
6
1
1
654
circular-strategy
City of Amsterdam
x=
13
6
7
0
3
3
0
6
0
1
0
y=
13
6
7
0
3
3
0
6
0
1
0
655
mobility-strategy
City of Athens
x=
32
14
18
6
1
6
1
6
6
0
6
y=
32
14
18
6
1
6
1
6
6
0
6
658
resilience-strategy
Accra Innovation Enclave
x=
10
2
8
0
1
1
0
6
1
1
0
y=
10
2
8
0
1
1
0
6
1
1
0
641
innovation-strategy
Addis Ababa Environmental Protection and Green Development Commission
x=
9
3
6
1
1
1
0
0
3
0
3
y=
9
3
6
1
1
1
0
0
3
0
3
643
climate-strategy
City of Adelaide
x=
12
2
10
0
0
1
1
6
0
3
1
y=
12
2
10
0
0
1
1
6
0
3
1
646
smart-strategy
Accra Metropolitan Assembly
x=
20
14
6
6
1
6
1
0
0
0
6
y=
20
14
6
6
1
6
1
0
0
0
6
642
resilience-strategy
Abu Dhabi Chamber
x=
14
2
12
0
1
1
0
6
0
6
0
y=
14
2
12
0
1
1
0
6
0
6
0
640
innovation-strategy
dummy 5
x=
y=
Imported item 6
dummy 4
x=
y=
Imported item 5
Addis Ababa City Administration
x=
29
14
15
6
1
6
1
6
6
0
3
y=
29
14
15
6
1
6
1
6
6
0
3
644
resilience-strategy
City of Adelaide
x=
8
4
4
0
1
3
0
1
0
3
0
y=
8
4
4
0
1
3
0
1
0
3
0
645
general-strategy
dummy 1
x=
y=
Imported item 2
Iceland
x=
0
0
0
0
0
0
0
0
0
0
0
0
366425
55225
0
415758
y=
0
0
0
0
0
0
0
0
0
0
0
0
366425
55225
0
415758
638
global-stocktake
Turkey
x=
7
2
5
1
0
1
0
3
1
0
1
3.51
84339067
28114
0.81
21744007
y=
7
2
5
1
0
1
0
3
1
0
1
3.51
84339067
28114
0.81
21744007
635
global-stocktake
Norway
x=
3
3
0
0
0
0
3
0
0
0
0
5.78
5379475
63288
0.95
7446972
y=
3
3
0
0
0
0
3
0
0
0
0
5.78
5379475
63288
0.95
7446972
632
global-stocktake
Indonesia
x=
0
0
0
0
0
0
0
0
0
0
0
1.66
273523621
12068
0.7
7051365
y=
0
0
0
0
0
0
0
0
0
0
0
1.66
273523621
12068
0.7
7051365
631
global-stocktake
Saudi Arabia
x=
1
1
0
0
0
1
0
0
0
0
0
5.77
34813867
46742
0.86
13696028
y=
1
1
0
0
0
1
0
0
0
0
0
5.77
34813867
46742
0.86
13696028
633
global-stocktake
Environmental Integrity Group (EIG)
x=
0
0
0
0
0
0
0
0
0
0
0
y=
0
0
0
0
0
0
0
0
0
0
0
634
global-stocktake
Arab Group, Kuwait
x=
0
0
0
0
0
0
0
0
0
0
0
y=
0
0
0
0
0
0
0
0
0
0
0
629
global-stocktake
Australia
x=
0
0
0
0
0
0
0
0
0
0
0
7.27
25687041
52397
0.94
22555232
y=
0
0
0
0
0
0
0
0
0
0
0
7.27
25687041
52397
0.94
22555232
630
global-stocktake
Canada
x=
0
0
0
0
0
0
0
0
0
0
0
8.08
38005238
48091
0.92
29771742
y=
0
0
0
0
0
0
0
0
0
0
0
8.08
38005238
48091
0.92
29771742
628
global-stocktake
India, Like-minded Developing Countries (LMDC)
x=
4
3
1
0
0
0
3
0
1
0
0
y=
4
3
1
0
0
0
3
0
1
0
0
625
global-stocktake
Alliance of Small Island Developing States
x=
1
1
0
0
0
0
1
0
0
0
0
y=
1
1
0
0
0
0
1
0
0
0
0
621
global-stocktake
United States Of America
x=
2
2
0
1
0
0
1
0
0
0
0
7.97
329484120
63593
0.92
581553000
y=
2
2
0
1
0
0
1
0
0
0
0
7.97
329484120
63593
0.92
581553000
622
global-stocktake
European Union, France, European Commission
x=
4
2
2
0
0
1
1
0
1
0
1
y=
4
2
2
0
0
1
1
0
1
0
1
639
global-stocktake
Group of 77 and China, Pakistan
x=
7
4
3
0
0
1
3
0
0
0
3
y=
7
4
3
0
0
1
3
0
0
0
3
623
global-stocktake
Least Developed Countries (LDCs), Senegal
x=
1
0
1
0
0
0
0
0
1
0
0
y=
1
0
1
0
0
0
0
0
1
0
0
627
global-stocktake
African Group, Zambia
x=
2
1
1
0
0
0
1
0
1
0
0
y=
2
1
1
0
0
0
1
0
1
0
0
626
global-stocktake
n/a
None selected
Y
X
None selected
n/a
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